2018
DOI: 10.1111/pirs.12236
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R&D networks and regional knowledge production in Europe: Evidence from a space‐time model

Abstract: ABSTRACT:In this paper we estimate space-time impacts of the embeddedness in R&D networks on regional knowledge production by means of a dynamic spatial panel data model with non-linear effects for a set of 229 European NUTS-2 regions in the period 1999-2009. Embeddedness refers to the positioning in networks where nodes represent regions that are linked by joint R&D endeavours in European Framework Programmes. We observe positive immediate impacts on regional knowledge production arising from increased embedd… Show more

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Cited by 34 publications
(31 citation statements)
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“…We find a significantly positive effect of network centrality on regional patenting intensity in all KET fields, confirming the positive influence of cross‐regional networks on a region's invention potential as found in previous studies (see e.g., Ponds et al, ; Wanzenböck & Piribauer, ). These network effects, however, differ in strength depending on the specific technology under investigation.…”
Section: Resultssupporting
confidence: 90%
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“…We find a significantly positive effect of network centrality on regional patenting intensity in all KET fields, confirming the positive influence of cross‐regional networks on a region's invention potential as found in previous studies (see e.g., Ponds et al, ; Wanzenböck & Piribauer, ). These network effects, however, differ in strength depending on the specific technology under investigation.…”
Section: Resultssupporting
confidence: 90%
“…To estimate the impact of R&D networks on regional knowledge creation in KET fields, we build on an augmented regional knowledge production function (KPF) approach as introduced in Wanzenböck and Piribauer (), and regard the effects of R&D network embeddedness as dependent on other regional knowledge inputs. In this study, we provide measures to disentangle potential interaction effects of network embeddedness in a multiregional setting and to compare them between different technological fields.…”
Section: Empirically Modelling Regional Knowledge Creationmentioning
confidence: 99%
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